Innovative-RFK S.p.A (MLIRF) Fair Value & Analysis
Financial Services · FR · Market cap €15.4M
Fair value as of: Jun 26, 2026
Analysis
Innovative-RFK S.p.A (MLIRF) currently trades at €1.69, while our model-based Fair Value estimate is €1.99 — implying the stock looks roughly 17.8% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Innovative-RFK S.p.A. is a private equity and venture capital firm specializing in startup, emerging growth, and growth capital investments in Small and Medium sized companies. The firm also makes fund of fund investments in private equity funds. It prefers to invest in the biomedical systems, microcredit for SMEs, information technology, high tech sector, and innovative solutions for different industries. It typically invests in companies based in Italy. It invests up to "3 million ($3.54 million) in companies with enterprise value up to "50 million ($58.96 million), sales value up to "50 million ($58.96 million) and EBITDA up to "5 million ($5.90 million). The firm invests through its personal capital. The firms can hold either minority or majority stake in its portfolio. The firm prefers to exit its investments within 18-24 months through IPO. Innovative-RFK S.p.A. was founded in 2017 and it is based in Milan, Italy.
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Frequently asked questions
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.